Abstract: The present disclosure provides a model for semantic navigation for service robots to find out-of-view objects in an indoor environment. Initially, the system receives a target object to be reached by the mobile robot in the indoor environment. Further, a current location of the mobile robot is identified by a localization technique. An embedding corresponding to each of a plurality of visible regions is computed using a pretrained Graph Neural Network GNN. The GNN is pretrained using a trajectory data and a spatial relationship graph associated with the indoor environment. Further, a similarity score is computed for each of the plurality of visible regions based on the corresponding embedding using a scoring technique. An optimal visible region is identified by comparing the similarity score. Finally, a next action to be taken by the mobile robot selected from a plurality of actions based on the optimal visible region.

Abstract: For performing incremental analysis, analysis tools may reuse analysis information computed earlier for intermediate representation (IR) objects that remain unchanged between versions of program. But identification numbers (IDs) of unchanged IR objects change over versions due to changes with each run of incremental analysis, thereby making it difficult to reuse analysis information as tools require IDs of unchanged IR objects from previous versions. Present disclosure provides method and system for mapping IR objects for facilitating incremental analysis. The system first extracts attributes associated with each IR object present in previous version to create data structure for storing IR objects. The system then determines unchanged lines between versions to create line number map. Thereafter, system uses line number map to create ID-based IR mapping between ID of each unchanged IR object present in each unchanged line in current version and ID of each IR object stored in data structure.

Abstract: A blank for a container configured to carry a plurality of articles can include a plurality of side panels configured to form a wall defining an interior space, a plurality of bottom panels connected to a the plurality of side panels and configured to interact with each other to form an autobottom. The autobottom can be configured to cover at least a portion of a bottom of the interior space in a formed position, and one or more divider handle assembly panels foldably connected to one or more of the bottom panels and configured to form a handle and to form at least one divider configured to divide the interior space into at least two compartments.

Abstract: Embodiments include techniques to determine a set of credit risk assessment data samples, generate local credit risk assessment attributions for the set of credit risk assessment samples, and normalize each local credit risk assessment attribution of the local credit risk assessment attributions. Further, embodiments techniques to compare each pair of normalized local credit risk assessment attributions and assign a rank distance thereto proportional to a degree of ranking differences between the pair of normalized local credit risk assessment attributions. The techniques also include applying a K-medoids clustering algorithm to generate clusters of the local risk assessment attributions, generating global attributions, and determining insights for the neural network based on the global attributions.

Abstract: Methods and systems for routing data payloads through a plurality of microservices are disclosed. The method may comprise: receiving a data payload and first data; predicting, by a trained machine learning model based on the first data, a path through a plurality of microservices associated with the data payload; generating a modified data payload by modifying, via the orchestrator service, the data payload to include: a first header, wherein the first header comprises a first microservice destination address associated with a first microservice of the plurality of microservices and a second header nested within the first header, wherein the second header comprises a second microservice destination address associated with a second microservice of the plurality of microservices; forwarding the modified data payload to the first microservice based on the first header for processing; and forwarding the modified data payload to the second microservice based on the second header for processing.

Abstract: An application programming interface (API) receives broadcast-related information from media automation applications. A traffic log is received from a first media automation application configured to generate a traffic log associated with a media station, and spot information associated with spots included in the traffic log is received from at least a second media automation application. The API stores the broadcast-related information, including the traffic log and the spot information, in one or more databases. The API also receives, from a media playout system, at least one request for the stored broadcast-related information. The media playout system is configured to insert media content into a media broadcast associated with the media station. The API provides the requested broadcast-related information to the media playout system, which inserts the media content into the media broadcast associated with the media station.

Abstract: The packet capture manager uses a multi-tiered storage for storing captured network traffic. Captured packets are stored on a primary storage with a time-to-live according to a retention policy. The packet capture manager receives instructions from one or more network monitoring devices identifying one or more captured packets as packets of interest. The packet capture manager flags the identified packets as packets of interest, moves the flagged packets to a secondary storage, and changes the TTL of the moved packets. A machine learning model analyzes historical data of the instructions received from the one or more network monitoring devices. The packet capture manager uses the machine learning model to identify packets of interest and move identified packets to the secondary storage without specific instructions from a network monitoring device.

Abstract: According to the present disclosure, the use of a nanoliposome in the manufacture of a medicament for the prophylaxis and/or treatment of anterior segment ocular diseases is provided. The nanoliposome comprises a plurality of unsaturated and/or saturated lipids forming at least one lipid bilayer encapsulating a hydrophobic drug comprising tacrolimus, wherein the hydrophobic drug and the plurality of unsaturated and/or saturated lipids have a weight ratio of up to 0.2. The present disclosure also provides for such a nanoliposome and a method of preventing and/or treating anterior segment ocular diseases based on the nanoliposomes.

Abstract: A requestor and a responder may conduct secure communication by making API calls based on a secure multi-party protocol. The requestor may send a request data packet sent in a API request to the responder, where the request data packet can include at least a control block that is asymmetrically encrypted and a data block that is symmetrically encrypted. The responder may return a response data packet to the requestor, where the response data packet can include at least a control block and a data block that are both symmetrically encrypted. The requestor and the responder may derive the keys for decrypting the encrypted portions of the request and response data packets based on some information only known to the requestor and the responder. The secure multi-party protocol forgoes the need to store and manage keys in a hardware security module.

Abstract: Methods and systems are described for generating dynamic conversational responses using machine learning models. The dynamic conversational responses may be generated in real time and reflect the likely goals and/or intents of a user. The machine learning model may provide these features by monitoring one or more user actions and/or lengths of time between one or more user actions during conversational interactions.

Abstract: Auditing data containing sensitive data are stored in a data structure comprising data objects. Each data object comprises one or more pairs of a name and a value. Pairs that are flagged or identified as containing sensitive data are partially encrypted; the value is encrypted using an asymmetric key and the name corresponding to the encrypted value remains unencrypted. Some pairs that are not flagged or identified as containing sensitive data are left unencrypted. Unencrypted data may be stored in the partially encrypted auditing data as plain text. The auditing data may be analyzed to generate business metrics and identify application errors. The auditing data may also be queried, and data objects containing unencrypted pairs and/or partially encrypted pairs may be returned based on matching unencrypted names and/or values to the data query.

Abstract: Methods and systems searching data exchanges and assets with non-homogenous functionality and non-standardized data descriptions using credentials corresponding to users. The method includes receiving, from a user, a request to access a data exchange, retrieving a user profile for the user, wherein the user profile provides a credential for the user, and receiving a search string. The method includes determining a first search input for searching the data exchange based on the search string and the credential, performing, a first comparison of a first search input portion to respective first set of attributes for the plurality of asset types, and performing a second comparison of a second search input portion to respective second set of attributes for the plurality of asset types. The method includes generating for display a search result for the search string based on the first comparison and the second comparison.

Abstract: Methods of obtaining a cell population enriched for tumor-reactive T cells, the method comprising: (a) obtaining a bulk population of T cells from a tumor sample; (b) specifically selecting CD8+ T cells that express any one or more of TIM-3, LAG-3, 4-1BB, and PD-1 from the bulk population; and (c) separating the cells selected in (b) from unselected cells to obtain a cell population enriched for tumor-reactive T cells are disclosed. Related methods of administering a cell population enriched for tumor-reactive T cells to a mammal, methods of obtaining a pharmaceutical composition comprising a cell population enriched for tumor-reactive T cells, and isolated or purified cell populations are also disclosed.

Abstract: A system and method includes generating approximate distributions for distinct classes of data samples; computing a first partial Jensen-Shannon (JS) divergence and a second partial JS divergence based on the approximate distribution of the disparity affected class of data samples with reference to the approximate distribution of the control class of data samples; computing a disparity divergence based on the first partial JS divergence and the second partial JS divergence; generating a distribution-matching term based on the disparity divergence, wherein the distribution-matching term mitigates an inferential disparity between the control class of data samples and the disparity affected class of data samples during a training of an unconstrained artificial neural network; constructing a disparity-constrained loss function based on augmenting a target loss function with the distribution-matching term; and transforming the unconstrained ANN to a disparity-constrained ANN based on a training of the unconstraine

Abstract: Described herein is a system, method, and non-transitory computer readable medium related to a service provider using a third party identity provider to authenticate a user with improved security. An authentication token is received from the identity provider, and can be verified against internal configuration information. The internal configuration information includes data that is not included in the authentication token, and therefore, is not vulnerable to some security attacks, such as a man-in-the-middle attack. After the authentication token is verified, the internal configuration information and authentication token may be used to create a custom identifier, referred to as an identity ID. The identity ID may be used by the service provider to verify user access to resources.

Abstract: Multi-factor authentication systems and methods are provided that include receiving a request to authenticate a user of a mobile device. The request for authentication may include credential information associated with the user and vehicle data. A determination may be made regarding whether the vehicle data was obtained from a vehicle via the mobile device. The received vehicle data and received credential information may be compared to stored data. When there is a match between the received vehicle data and received credential information and corresponding stored data, a notification may be provided to the user device indicating that the user has been authenticated.

Abstract: An apparatus includes channel assemblies in a rotatable section, a cutting assembly, a discharge assembly, and a cleanout assembly. The channel assembly holds a bulk instance of compressible material extending through upper and lower channels of a continuous channel. The cutting assembly moves in relation to the channel assembly to isolate the upper and lower channels, severing upper and lower material portions of the bulk instance. The discharge assembly directs gas into the lower channel of a channel assembly to discharge the lower material portion from the lower channel, based on radial alignment of a conduit assembly of the channel assembly with a conduit assembly of the discharge assembly. The cleanout assembly supplies a fluid through the conduit assembly of the channel assembly, based on radially alignment of the conduit assembly of the channel assembly with a conduit assembly of the cleanout assembly.

Abstract: A cartridge for an aerosol-generating system includes a liquid storage portion configured to store a liquid aerosol-forming substrate. The liquid storage portion includes one or more flexible walls and is configured to change at least one of the shape and the size of the liquid storage portion upon a change of the volume of the liquid aerosol-forming substrate held in the liquid storage portion. The cartridge includes a sensor configured to detect data of a physical property. The data relates to at least one of a corresponding shape and a corresponding size of the liquid storage portion so that the volume of the liquid aerosol-forming substrate held in the liquid storage portion is determinable from the measured data.

Abstract: Rapid development in digitization results in generation of huge amounts of unstructured text data by most organizations from several sources. A major drawback of using existing metrics in the data management is assessing quality of topics associated with context in a document. A processed dataset obtained from a raw dataset is mapped to obtain a relationship between one or more words from one or more topics. A word score is determined based on probability of number of constructs in sentences. At least one repetitive word from the one or more topics are determined. A topic score with degree of contextual association between the one or more words in each topic is determined by mean value of the word score. A contiguity score with degree of contextual association between the one or more topics is determined based on median value of the topic score to obtain one or more connected topics.

Abstract: Systems, apparatuses, and methods are provided for enabling a transaction using a token associated with a first payment network to be conducted using a second payment network. When a transaction using a token is submitted to a payment network, the payment network can determine the payment network associated with the token. If the token is associated with a second payment network, a token verification request including the token can be sent to the second payment network. The second payment network can then return a token verification response including a primary account identifier such as a primary account number (PAN) corresponding to the token and a validation result. The transaction may then be processed using the primary account identifier.